These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
76 related articles for article (PubMed ID: 22677309)
1. Fractional-order time series models for extracting the haemodynamic response from functional magnetic resonance imaging data. Barbee K; Van Moer W; Nagels G IEEE Trans Biomed Eng; 2012 Aug; 59(8):2264-72. PubMed ID: 22677309 [TBL] [Abstract][Full Text] [Related]
2. From EEG to BOLD: brain mapping and estimating transfer functions in simultaneous EEG-fMRI acquisitions. Sato JR; Rondinoni C; Sturzbecher M; de Araujo DB; Amaro E Neuroimage; 2010 May; 50(4):1416-26. PubMed ID: 20116435 [TBL] [Abstract][Full Text] [Related]
3. Unsupervised robust nonparametric estimation of the hemodynamic response function for any fMRI experiment. Ciuciu P; Poline JB; Marrelec G; Idier J; Pallier C; Benali H IEEE Trans Med Imaging; 2003 Oct; 22(10):1235-51. PubMed ID: 14552578 [TBL] [Abstract][Full Text] [Related]
4. Dynamics and nonlinearities of the BOLD response at very short stimulus durations. Yeşilyurt B; Uğurbil K; Uludağ K Magn Reson Imaging; 2008 Sep; 26(7):853-62. PubMed ID: 18479876 [TBL] [Abstract][Full Text] [Related]
5. Time-resolved analysis of fMRI signal changes using Brain Activation Movies. Windischberger C; Cunnington R; Lamm C; Lanzenberger R; Langenberger H; Deecke L; Bauer H; Moser E J Neurosci Methods; 2008 Mar; 169(1):222-30. PubMed ID: 18207248 [TBL] [Abstract][Full Text] [Related]
6. Estimation of the hemodynamic response of fMRI Data using RBF neural network. Luo H; Puthusserypady S IEEE Trans Biomed Eng; 2007 Aug; 54(8):1371-81. PubMed ID: 17694857 [TBL] [Abstract][Full Text] [Related]
7. The spatial dependence of the poststimulus undershoot as revealed by high-resolution BOLD- and CBV-weighted fMRI. Yacoub E; Ugurbil K; Harel N J Cereb Blood Flow Metab; 2006 May; 26(5):634-44. PubMed ID: 16222242 [TBL] [Abstract][Full Text] [Related]
8. fMRI activation maps based on the NN-ARx model. Riera J; Bosch J; Yamashita O; Kawashima R; Sadato N; Okada T; Ozaki T Neuroimage; 2004 Oct; 23(2):680-97. PubMed ID: 15488418 [TBL] [Abstract][Full Text] [Related]
9. A comparison of the mean signal change method and the voxel count method to evaluate the sensitivity of individual variability in visuospatial performance. Chung SC; Sohn JH; Lee B; Tack GR; Yi JH; You JH; Kwon JH; Kim HJ; Lee SY Neurosci Lett; 2007 May; 418(2):138-42. PubMed ID: 17379407 [TBL] [Abstract][Full Text] [Related]
10. Modeling the hemodynamic response to brain activation. Buxton RB; Uludağ K; Dubowitz DJ; Liu TT Neuroimage; 2004; 23 Suppl 1():S220-33. PubMed ID: 15501093 [TBL] [Abstract][Full Text] [Related]
12. Analysis of event-related fMRI data using best clustering bases. Meyer FG; Chinrungrueng J IEEE Trans Med Imaging; 2003 Aug; 22(8):933-9. PubMed ID: 12906247 [TBL] [Abstract][Full Text] [Related]
13. Nonlinear responses of cerebral blood volume, blood flow and blood oxygenation signals during visual stimulation. Gu H; Stein EA; Yang Y Magn Reson Imaging; 2005 Nov; 23(9):921-8. PubMed ID: 16310107 [TBL] [Abstract][Full Text] [Related]
14. A comparison of Gamma and Gaussian dynamic convolution models of the fMRI BOLD response. Chen H; Yao D; Liu Z Magn Reson Imaging; 2005 Jan; 23(1):83-8. PubMed ID: 15733792 [TBL] [Abstract][Full Text] [Related]
15. Parametric analysis of fMRI data using linear systems methods. Cohen MS Neuroimage; 1997 Aug; 6(2):93-103. PubMed ID: 9299383 [TBL] [Abstract][Full Text] [Related]
16. The BOLD response and vascular reactivity during visual stimulation in the presence of hypoxic hypoxia. Ho YC; Vidyasagar R; Shen Y; Balanos GM; Golay X; Kauppinen RA Neuroimage; 2008 Jun; 41(2):179-88. PubMed ID: 18396415 [TBL] [Abstract][Full Text] [Related]